MétaCan
Menu
Back to cohort
Record W2349947308

Edgar Snow' s Acceptance and Spread of Chinese Culture

2003· article· en· W2349947308 on OpenAlexaboutno aff
Yun Qiao

Bibliographic record

VenueJournal of Hebei University · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsnot available
Fundersnot available
KeywordsChinaGermanPortugueseSnowQuarter (Canadian coin)Chinese cultureHistoryFoundation (evidence)SociologyPolitical scienceMedia studiesGeographyLawPhilosophyLinguisticsArchaeologyMeteorology
DOInot available

Abstract

fetched live from OpenAlex

Culture is the real quintessence which has an important bearing on every nation's existence and development. Culture of different nations infiltrates with each other and influences each other. Edgar Snow was a prominent spreader of world culture. His report of Shanbei based on his individual thinking,formed a solid foundation for a deep understanding of Chinese society. Once Red Star Over China was published, the world was shaked. The book was translated into French, German, Russian, Italian, Castilian, Portuguese, Janpanese, Mongolian and other languages. It has become a window for people in the world to understand China. Its influence was wide and deep.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.262
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Hebei UniversitySame topicChina's Ethnic Minorities and RelationsFrench-language works237,207